AI Engineer Apprentice (Level 6) — Hybrid & Training

Thales Group; Crawley; On-site; GBP 20,000 - 28,000; Full time

Benefits offered by this job

Hybrid/flexible working options

Tuition fees fully paid

Contributory Company Pension

Health Care Cash Plan

Life Cover

80 Hours Volunteering per year

Job summary

Thales Group in the United Kingdom offers an AI Engineer Apprentice role, designed to develop technical knowledge, practical skills and professional behaviours to design, build, test and deploy dependable AI-enabled solutions. You will join our AI and engineering community and contribute to live projects across the machine learning lifecycle.

You will learn data preparation, model evaluation, deployment patterns, MLOps, cloud and security considerations, while collaborating with experienced

Qualifications

• Three A Levels Grade B or above in Maths.
• At least one relevant subject (Physics, Computer Science, Software, ICT).
• Or a Level 4/5 apprenticeship in a similar subject.
• Minimum of five GCSEs at Grade 9-4 (A-C), including English and Maths)

Responsibilities

• Preparing, exploring and validating data for machine learning use cases
• Developing and evaluating machine learning models and AI-enabled software components
• Writing clean, tested and documented code using appropriate engineering tools and practices
• Supporting model integration, deployment, monitoring and performance improvement
• Contributing to technical reviews, experiments and structured problem solving
• Working with experienced engineers and researchers on live projects

Education

Three A Levels Grade B or above in Maths

At least one relevant subject (Physics, Computer Science, Software, ICT)

Or a Level 4/5 apprenticeship in a similar subject

Minimum of five GCSEs at Grade 9-4 (A-C), including English and Maths

Job description

Thales Group in the United Kingdom offers an AI Engineer Apprentice role, designed to develop technical knowledge, practical skills and professional behaviours to design, build, test and deploy dependable AI-enabled solutions. You will join our AI and engineering community and contribute to live projects across the machine learning lifecycle.

You will learn data preparation, model evaluation, deployment patterns, MLOps, cloud and security considerations, while collaborating with experienced